Use of advanced data/computational science techniques to improve and intergrate site-specific weather forecasts to support Shell's global operations

该研究项目的总体目标将是研究如何改进和整合天气预报模型，以支持壳牌各种全球业务的决策，包括全球商业、贸易和供应以及新能源(可再生能源和电子移动)。基本的预报框架将是WRF(天气研究和预报模型)，它目前被壳牌用来提供高分辨率、特定地点的预报，以及帝国理工学院的下一代Gusto模型，它在灵活的网格上使用先进的离散化方法，它使用高度可扩展的Firedrake代码生成框架。

The overall aim of this research project will be to investigate how weather forecasting models can be improved and interegrated to support decision-making in a variety of Shell's global operations, including Global Commercials, Trading & Supply and New Energies (Renewable Power and e-mobility).The underlying forecasting frameworks will be WRF (Weather Research and Forecasting Model) which is currently used by Shell to provide high-resolution, site-specific forecasts, as well as Imperial College's next-generation Gusto model, which used advanced discretisation methods on flexible meshes and it built using the highly scalable Firedrake code generation framework.